-
So far, we have been using our `preprocessing.Imputer` to take care of missing values before fitting the `RandomForest`. Ref: [this example](http://scikit-learn.org/dev/auto_examples/missing_values.ht…
-
**What's your use case?**
**What's your proposed solution?**
**Are there any alternative solutions?**
-
Hi!
Noting that one of the most important features of the RandomForest algorithm is the prediction explainability I wonder if it could be possible to be implemented in GradientBoost too. I know tha…
-
Right now we have this in the GradientBoosting API page:
> [sklearn.ensemble.HistGradientBoostingClassifier](https://scikit-learn.org/dev/modules/generated/sklearn.ensemble.HistGradientBoostingClas…
-
### Is your feature request related to a problem?
It's not possible to set the learning rate of gradient boosting.
### Desired solution
* Add a new parameter `learning_rate: float` to the ini…
-
### Is your feature request related to a problem?
It's not possible to set the number of trees for gradient boosting (classifier & regressor).
### Desired solution
* Add a new parameter `numb…
-
Try to use this model to make predictions. Explained better [here](https://docs.google.com/document/d/19UnRkW-gWVjOWSk2-YzcHqdsUt9YW9NfKujpAW1ApMk/edit). Ideally we would be using [this](https://githu…
-
**Describe the bug**
Hi, I am using a RegressionModel() instance with a sklearn.GradientBoostingRegressor instance as underlying model for time series forecasting, the data I used to train with this …
-
**Describe the issue**
A clear and concise description of the issue you're experiencing.
**To Reproduce**
using sastcl sample to register pymodel to monthly env, and found all three dmcas_*.json…
-
**Describe the issue**
A clear and concise description of the issue you're experiencing.
**To Reproduce**
using sastcl sample to register pymodel to monthly env, and found all three dmcas_*.json …